Improving exchange rate forecasting via a new deep multimodal fusion model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03342-5.pdf
Reference44 articles.
1. Wooldridge P D (2019) Fx and otc derivatives markets through the lens of the triennial survey. BIS Quarterly Review
2. Cao W, Zhu W, Wang W, Demazeau Y, Zhang C (2020) A deep coupled lstm approach for usd/cny exchange rate forecasting. IEEE Intell Syst:1–10. https://doi.org/10.1109/MIS.2020.2977283
3. Kocenda E, Moravcova M (2018) Intraday effect of news on emerging european forex markets: An event study analysis. Econ Syst 42(4):597–615. https://doi.org/10.1016/j.ecosys.2018.05.003
4. Fama E F (2021) Market efficiency, long-term returns, and behavioral finance. University of Chicago Press. https://doi.org/10.7208/9780226426983-009
5. Jiao P, Veiga A, Walther A (2020) Social media, news media and the stock market. J Econ Behav Organ 176:63–90. https://doi.org/10.1016/j.jebo.2020.03.002
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology;Engineering Applications of Artificial Intelligence;2024-07
2. Multimodal Sentiment Analysis via Low-Rank Tensor Attention Network with Unimodal Self-Supervised Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. Prediction of medial knee contact force using multisource fusion recurrent neural network and transfer learning;Medical & Biological Engineering & Computing;2024-01-05
4. A novel multifactor clustering integration paradigm based on two-stage feature engineering and improved bidirectional deep neural networks for exchange rate forecasting;Digital Signal Processing;2023-11
5. Impact of News Sentiment on Foreign Exchange Rate Prediction;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3